Dr Ramesh Nadarajah

Profile

I am a Senior Research Fellow and Honorary Consultant Cardiologist at the Institute of Data Analytics and Institute of Cardiovascular and Metabolic Medicine at the University of Leeds and at Leeds Teaching Hospitals NHS Trust.

I qualified in medicine at the University of Cambridge and obtained a MA (Hons) in neuroscience. I then worked as a junior doctor in London before undertaking speciality training in Cardiology, most recently at Leeds General Infirmary. After becoming a member of the Royal College of Physicians I was awarded a Clinical Reserach Training Fellowship by the British Heart Foundation and a PhD Enrichment Scheme award by the Alan Turing Institute. I completed a PhD at the University on the use of machine learning to predict atrial fibrillation in the general population using routinely collected datasets in primary care, which I then took into a prospective clinical study during my NIHR Academic Clinical Lecturership in Cardiology. I am now a Health Data Research UK Fellow and hold a NIHR award to further my research in clinical trials.

My research incorporates the use of large routinely-collected datasets to develop and validate prediction models, particularly in the area of atrial fibrillation, heart failure, and atrial fibrillation after stroke, and cardio-renal-metabolic disease. I am also now translating these prediction models into clinical trials to determine if they can improve care and outcomes. My clinical interests are in prevention, early detection and screening for cardio-renal-metabolic disease. I supervise PhD, MD, and MSc students.

I have been awarded Young Investigator Award at the British Society of Heart Failure and at the Heart Rhythm Congress. I have also been a finalist for the Young Investigator Award at the European Heart Rhythm Association Congress, ESC Preventative Cardiology, and the President’s Prize in Cardiology at the Royal Society of Medicine.

I have been a primary and co-applicant on successful grant applications with the British Heart Foundation, National Institute of Health and Care Research and Leeds Hospital Charity. I am also a member of the e-cardiology working group and Stroke Council of the European Society of Cardiology, and the Future Leaders in Health Forum at the Leeds Institute of Data Analytics. I am a member of the British Cardiovascular Society, Royal College of Physicians of London and the European Society of Cardiology.

Research interests

Leveraging machine learning in population-based data to identify individuals at high risk of atrial fibrillation, heart failure, heart failure with preserved ejection fraction and cardio-renal-metabolic disease. I am now translating these prediction algorithms into clinical trials. I also use of population-based data to understand disease incidence, outcomes, and care quality.

Qualifications

• MA (Hons)
• MB BChir
• MRCP
• PhD

Professional memberships

• British Cardiovascular Society
• Royal College of Physicians of London
• European Society of Cardiology

Research groups and institutes

• Leeds Institute of Cardiovascular and Metabolic Medicine